TY - CONF AU - Schryen, Guido AU - Marrone, Mauricio AU - Yang, Jiaqi ID - 47427 T2 - Proceedings of the 57th Hawaii International Conference on System Science (HICSS 2024) TI - Adopting Generative AI for Literature Reviews: An Epistemological Perspective ER - TY - CONF AU - Betke, Hans AU - Sperling, Martina AU - Schryen, Guido AU - Sackmann, Stefan ID - 47429 T2 - Proceedings of the 57th Hawaii International Conference on System Science (HICSS 2024) TI - A Design Theory for Spontaneous Volunteer Coordination Systems in Disaster Response ER - TY - JOUR AU - Schryen, Guido ID - 50301 JF - Journal of Parallel and Distributed Computing TI - Speedup and efficiency of computational parallelization: A unifying approach and asymptotic analysis ER - TY - JOUR AU - Stumpe, Miriam ID - 52092 JF - Transportation Research Procedia SN - 2352-1465 TI - A new mathematical formulation for the simultaneous optimization of charging infrastructure and vehicle schedules for electric bus systems VL - 78 ER - TY - JOUR AU - Burmeister, Sascha Christian AU - Schryen, Guido ID - 42179 JF - Energy Systems TI - Distribution Network Optimization: Predicting computation times to design scenario analysis for network operators ER - TY - JOUR AU - Schryen, Guido AU - Sperling, Martina ID - 44361 IS - September JF - Computers & Operations Research TI - Literature Reviews in Operations Research: A New Taxonomy and a Meta Review VL - 157 ER - TY - JOUR AU - Dieter, Peter AU - Caron, Matthew AU - Schryen, Guido ID - 44383 IS - 1 JF - European Journal of Operational Research (EJOR) TI - Integrating driver behavior into last-mile delivery routing: Combining machine learning and optimization in a hybrid decision support framework VL - 311 ER - TY - JOUR AU - Dieter, Peter AU - Stumpe, Miriam AU - Ulmer, Marlin Wolf AU - Schryen, Guido ID - 45816 JF - Transportation Research Part D TI - Anticipatory Assignment of Passengers to Meeting Points for Taxi-Ridesharing VL - 121 ER - TY - CHAP AU - Dieter, Peter ID - 46867 SN - 0302-9743 T2 - Lecture Notes in Computer Science TI - A Regret Policy for the Dynamic Vehicle Routing Problem with Time Windows ER - TY - JOUR AU - Burmeister, Sascha Christian AU - Guericke, Daniela AU - Schryen, Guido ID - 47431 JF - Flexible Services and Manufacturing Journal TI - A Memetic NSGA-II for the Multi-Objective Flexible Job Shop Scheduling Problem with Real-time Energy Tariffs ER - TY - JOUR AU - Beverungen, Daniel AU - Kundisch, Dennis AU - Mirbabaie, Milad AU - Müller, Oliver AU - Schryen, Guido AU - Trang, Simon Thanh-Nam AU - Trier, Matthias ID - 45112 IS - 4 JF - Business & Information Systems Engineering TI - Digital Responsibility – a Multilevel Framework for Responsible Digitalization VL - 65 ER - TY - GEN AU - Knorr, Lukas AU - Jungeilges, André AU - Pfeifer, Florian AU - Burmeister, Sascha Christian AU - Meschede, Henning ID - 48335 TI - Regenerative Energien für einen effizienten Betrieb von Presshärtelinien ER - TY - JOUR AU - Sperling, Martina AU - Schryen, Guido ID - 23415 IS - 2 JF - European Journal of Operational Research (EJOR) TI - Decision Support for Disaster Relief: Coordinating Spontaneous Volunteers VL - 299 ER - TY - CONF AB - Requirements for energy distribution networks are changing fast due to the growing share of renewable energy, increasing electrification, and novel consumer and asset technologies. Since uncertainties about future developments increase planning difficulty, flexibility potentials such as synergies between the electricity, gas, heat, and transport sector often remain unused. In this paper, we therefore present a novel module-based concept for a decision support system that helps distribution network planners to identify cross-sectoral synergies and to select optimal network assets such as transformers, cables, pipes, energy storage systems or energy conversion technology. The concept enables long-term transformation plans and supports distribution network planners in designing reliable, sustainable and cost-efficient distribution networks for future demands. AU - Kirchhoff, Jonas AU - Burmeister, Sascha Christian AU - Weskamp, Christoph AU - Engels, Gregor ED - Breitner, Michael H. ED - Lehnhoff, Sebastian ED - Nieße, Astrid ED - Staudt, Philipp ED - Weinhardt, Christof ED - Werth, Oliver ID - 21093 T2 - Energy Informatics and Electro Mobility ICT TI - Towards a Decision Support System for Cross-Sectoral Energy Distribution Network Planning ER - TY - JOUR AB - Ideational impact refers to the uptake of a paper's ideas and concepts by subsequent research. It is defined in stark contrast to total citation impact, a measure predominantly used in research evaluation that assumes that all citations are equal. Understanding ideational impact is critical for evaluating research impact and understanding how scientific disciplines build a cumulative tradition. Research has only recently developed automated citation classification techniques to distinguish between different types of citations and generally does not emphasize the conceptual content of the citations and its ideational impact. To address this problem, we develop Deep Content-enriched Ideational Impact Classification (Deep-CENIC) as the first automated approach for ideational impact classification to support researchers' literature search practices. We evaluate Deep-CENIC on 1,256 papers citing 24 information systems review articles from the IT business value domain. We show that Deep-CENIC significantly outperforms state-of-the-art benchmark models. We contribute to information systems research by operationalizing the concept of ideational impact, designing a recommender system for academic papers based on deep learning techniques, and empirically exploring the ideational impact of the IT business value domain. AU - Prester, Julian AU - Wagner, Gerit AU - Schryen, Guido AU - Hassan, Nik Rushdi ID - 20212 IS - January JF - Decision Support Systems KW - Ideational impact KW - citation classification KW - academic recommender systems KW - natural language processing KW - deep learning KW - cumulative tradition TI - Classifying the Ideational Impact of Information Systems Review Articles: A Content-Enriched Deep Learning Approach VL - 140 ER - TY - JOUR AB - Review papers are essential for knowledge development in IS. While some are cited twice a day, others accumulate single digit citations over a decade. The magnitude of these differences prompts us to analyze what distinguishes those reviews that have proven to be integral to scientific progress from those that might be considered less impactful. Our results highlight differences between reviews aimed at describing, understanding, explaining, and theory testing. Beyond the control variables, they demonstrate the importance of methodological transparency and the development of research agendas. These insights inform all stakeholders involved in the development and publication of review papers. AU - Wagner, Gerit AU - Prester, Julian AU - Roche, Maria AU - Schryen, Guido AU - Benlian, Alexander AU - Paré, Guy AU - Templier, Mathieu ID - 20844 IS - 3 JF - Information & Management KW - Literature review KW - review papers KW - scientometric KW - scientific impact KW - citation analysis TI - Which Factors Affect the Scientific Impact of Review Papers in IS Research? A Scientometric Study VL - 58 ER - TY - JOUR AU - Stumpe, Miriam AU - Rößler, David AU - Schryen, Guido AU - Kliewer, Natalia ID - 23494 JF - EURO Journal on Transportation and Logistics TI - Study on Sensitivity of Electric Bus Systems under Simultaneous Optimization of Charging Infrastructure and Vehicle Schedules VL - 10 ER - TY - JOUR AU - Wagner, Gerit AU - Prester, Julian AU - Schryen, Guido ID - 17934 IS - 1 JF - Communications of the Association for Information Systems TI - Exploring the Scientific Impact of Information Systems Design Science Research VL - 48 ER - TY - GEN AB - The scientific impact of research papers is multi-dimensional and can be determined quantitatively by means of citation analysis and qualitatively by means of content analysis. Accounting for the widely acknowledged limitations of pure citation analysis, we adopt a knowledge-based perspective on scientific impact to develop a methodology for content-based citation analysis which allows determining how papers have enabled knowledge development in subsequent research (knowledge impact). As knowledge development differs between research genres, we develop a new knowledgebased citation analysis methodology for the genre of standalone literature reviews (LRs). We apply the suggested methodology to the IS business value domain by manually coding 22 LRs and 1,228 citing papers (CPs) and show that the results challenge the assumption that citations indicate knowledge impact. We derive implications for distinguishing knowledge impact from citation impact in the LR genre. Finally, we develop recommendations for authors of LRs, scientific evaluation committees and editorial boards of journals how to apply and benefit from the suggested methodology, and we discuss its efficiency and automatization. AU - Schryen, Guido AU - Wagner, Gerit AU - Benlian, Alexander ID - 17019 KW - Scientific impact KW - knowledge impact KW - content-based citation analysis KW - methodology TI - Distinguishing Knowledge Impact from Citation Impact: A Methodology for Analysing Knowledge Impact for the Literature Review Genre ER - TY - CONF AB - Understanding a new literature corpus can be a grueling experience for junior scholars. Nevertheless, corresponding guidelines have not been updated for decades. We contend that the traditional strategy of skimming all papers and reading selected papers afterwards needs to be revised. Therefore, we design a new strategy that guides the overall exploratory process by prioritizing influential papers for initial reading, followed by skimming the remaining papers. Consistent with schemata theory, starting with in-depth reading allows readers to acquire more substantial prior content schemata, which are representa-tive for the literature corpus and useful in the following skimming process. To this end, we develop a prototype that identifies the influential papers from a set of PDFs, which is illustrated in a case study in the IT business value domain. With the new strategy, we envision a more efficient process of exploring unknown literature corpora. AU - Wagner, Gerit AU - Empl, Philipp AU - Schryen, Guido ID - 17055 KW - Reading and skimming KW - Exploring literature KW - Review methodology KW - Design science research KW - Schemata theory T2 - 28th European Conference on Information Systems (ECIS 2020) TI - Designing a Novel Strategy for Exploring Literature Corpora ER -